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Related Servers

Alternatives to quant-rag

No user-submitted related servers found.

    Related Servers

    • F
      license
      A
      quality
      B
      maintenance
      Provides an institutional research backend for AI assistants, with 15 tools for company, financial, funding, competitor, industry, and news intelligence, plus Markdown/PDF report generation, featuring deterministic source routing, extraction, validation, and citation generation.
      15
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables natural language portfolio monitoring, risk analysis, and compliance checking with tools for real-time portfolio status, risk metrics, anomaly detection, SEC filings search, market KPIs, and compliance validation.
      MIT
    • F
      license
      Not graded
      quality
      C
      maintenance
      Enables deterministic financial research by retrieving price history, calculating risk metrics such as Sharpe ratio and drawdown, and generating cited, provenance-aware reports.
      -
    • F
      license
      B
      quality
      Not graded
      maintenance
      Enables LLMs to retrieve, analyze, and visualize stock prices and financial report data for quantitative trading research and investment analysis. Provides real-time and historical stock data, financial statement analysis, key metric calculations, and trading signal visualization.
      13
      -

    TDQS

    A4.3/5.0

    Scored across 10 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes: search_documents (semantic search), search_graph (entity mention search), expand_entity (entity neighbors), connect_entities (co-mentions), get_passage (retrieve chunk), verify_citation/verify_citations (verification), list_documents (bibliographic listing), timeline (chronological overview), corpus_status (index status). The only potential confusion is between search_documents and search_graph, but their descriptions explicitly contrast semantic vs. nominal matching. verify_citation and verify_citations are clearly the same operation with batch vs. single, which is acceptable.

    Naming Consistency4/5

    Tool names mostly follow a verb_noun pattern: search_documents, search_graph, get_passage, list_documents, expand_entity, connect_entities, verify_citation, verify_citations, corpus_status, timeline. The pattern is consistent (imperative verb + object), though corpus_status and timeline are noun-only rather than verb_noun, which is a minor deviation. verify_citation vs verify_citations is a clear plural variant.

    Tool Count5/5

    10 tools is well within the ideal 3-15 range for a RAG/quant-research server. Each tool serves a distinct function: corpus status, search (semantic, graph, timeline), retrieval (get_passage), citation verification (single and batch), document listing, and entity graph exploration (expand, connect). No tool feels redundant or superfluous.

    Completeness5/5

    The tool surface covers the full RAG workflow: search (semantic, entity-based, timeline), passage retrieval, citation verification, document listing, corpus status, and entity graph exploration. The domain is a read-only research corpus, so CRUD operations are not expected. The only minor gap might be a tool to get full document text, but get_passage with neighbors and list_documents cover most needs, and the corpus is described as passage-based.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues